ASUSRyzAI ASUS System Product Name
Geekbench AI Score
3791
Single Precision Score
1672
Half Precision Score
9046
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | svswe |
| Upload Date | December 10 2025 06:14 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2530
470.4 IPS |
|
|
Image Classification (HP)
|
100% |
619
115.2 IPS |
|
|
Image Classification (Q)
|
99% |
7965
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
875
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9061
147.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5108
5.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
4364
5.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
23417
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
2501
198.4 IPS |
|
|
Object Detection (HP)
|
100% |
771
61.1 IPS |
|
|
Object Detection (Q)
|
86% |
7719
620.3 IPS |
|
|
Face Detection (SP)
|
100% |
7570
90.0 IPS |
|
|
Face Detection (HP)
|
100% |
1811
21.5 IPS |
|
|
Face Detection (Q)
|
97% |
11503
137.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6885
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2368
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
18116
144.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13240
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11054
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27829
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2297
84.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2011
74.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6197
229.5 IPS |
|
|
Text Classification (SP)
|
100% |
1971
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
948
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1736
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3082
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4510
90.6 IPS |
